Evidence map›Paper›PMID 30050804›Full record

ReviewTranslational andrology and urology2018

Genomic biomarkers in prostate cancer.

Zachary Kornberg, Matthew R Cooperberg, Daniel E Spratt, Felix Y Feng

Abstract readReview
In one paragraph

Review in Translational andrology and urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Gleason pattern 5 is associated with an increased risk for metastasis following androgen deprivation therapy and radiation: An analysis of RTOG 9202 and 9902.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2019
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  3. Article
  4. Review
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  7. Prostate cancer biomarkers: from early diagnosis to precision treatment.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Review
  8. Artificial intelligence applications in prostate cancer.Prostate cancer and prostatic diseases · 2024
    Review
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  11. Article
  12. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Zachary KornbergDepartment of Radiation Oncology, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA.
Matthew R CooperbergDepartment of Urology, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA.
Daniel E SprattDepartment of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA.
Felix Y FengDepartment of Radiation Oncology, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer is the most common non-cutaneous cancer among men in the United States. In the last decade there has been a rapid expansion in the field of biomarker assays for diagnosis, prognosis, and treatment prediction in prostate cancer. The evidence base for these assays is rapidly evolving. With several commercial assays available at each stage of the disease, deciding which genomic assays are appropriate for which patients can be nuanced for physicians. In an effort to help guide these decisions in clinical practice, we aim to give an update on the current status of the biomarker field of prostate cancer.

Indexed as

4kscorebiomarkerdecipherexosomeGenomic Prostate ScoreMichigan Prostate ScoreProlarisProstateprostate cancerprostate cancer antigen 3 (PCA3)Prostate Health Indexprostate-specific antigen (PSA)

Identifiers

PMID30050804
PMCPMC6043739

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.